Coffee Health Data Profiling

Brought to you by YData

Dataset statistics

Number of variables	16
Number of observations	10000
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	4.3 MiB
Average record size in memory	453.0 B

Variable types

Numeric	8
Categorical	8

Alerts

`Caffeine_mg` is highly overall correlated with `Coffee_Intake`	High correlation
`Coffee_Intake` is highly overall correlated with `Caffeine_mg`	High correlation
`Health_Issues` is highly overall correlated with `Stress_Level`	High correlation
`Sleep_Hours` is highly overall correlated with `Sleep_Quality` and 1 other fields	High correlation
`Sleep_Quality` is highly overall correlated with `Sleep_Hours` and 1 other fields	High correlation
`Stress_Level` is highly overall correlated with `Health_Issues` and 2 other fields	High correlation
`ID` is uniformly distributed	Uniform
`ID` has unique values	Unique
`Coffee_Intake` has 558 (5.6%) zeros	Zeros
`Caffeine_mg` has 528 (5.3%) zeros	Zeros

Reproduction

Analysis started	2025-09-17 15:09:10.114427
Analysis finished	2025-09-17 15:09:22.515313
Duration	12.4 seconds
Software version	ydata-profiling vv4.16.1
Download configuration	config.json

ID
Real number (ℝ)

Uniform Unique

Distinct	10000
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5000.5

Minimum	1
Maximum	10000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	78.3 KiB

Quantile statistics

Minimum	1
5-th percentile	500.95
Q1	2500.75
median	5000.5
Q3	7500.25
95-th percentile	9500.05
Maximum	10000
Range	9999
Interquartile range (IQR)	4999.5

Descriptive statistics

Standard deviation	2886.8957
Coefficient of variation (CV)	0.5773214
Kurtosis	-1.2
Mean	5000.5
Median Absolute Deviation (MAD)	2500
Skewness	0
Sum	50005000
Variance	8334166.7
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	1	< 0.1%
6671	1	< 0.1%
6664	1	< 0.1%
6665	1	< 0.1%
6666	1	< 0.1%
6667	1	< 0.1%
6668	1	< 0.1%
6669	1	< 0.1%
6670	1	< 0.1%
6672	1	< 0.1%
Other values (9990)	9990	99.9%

Value	Count	Frequency (%)
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%
10	1	< 0.1%

Value	Count	Frequency (%)
10000	1	< 0.1%
9999	1	< 0.1%
9998	1	< 0.1%
9997	1	< 0.1%
9996	1	< 0.1%
9995	1	< 0.1%
9994	1	< 0.1%
9993	1	< 0.1%
9992	1	< 0.1%
9991	1	< 0.1%

Age
Real number (ℝ)

Distinct	59
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	34.9491

Minimum	18
Maximum	80
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	78.3 KiB

Quantile statistics

Minimum	18
5-th percentile	18
Q1	26
median	34
Q3	43
95-th percentile	54
Maximum	80
Range	62
Interquartile range (IQR)	17

Descriptive statistics

Standard deviation	11.160939
Coefficient of variation (CV)	0.3193484
Kurtosis	-0.34571983
Mean	34.9491
Median Absolute Deviation (MAD)	8
Skewness	0.36185229
Sum	349491
Variance	124.56657
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
18	935	9.3%
34	354	3.5%
32	352	3.5%
37	346	3.5%
35	338	3.4%
38	325	3.2%
30	310	3.1%
31	310	3.1%
36	308	3.1%
40	308	3.1%
Other values (49)	6114	61.1%

Value	Count	Frequency (%)
18	935	9.3%
19	133	1.3%
20	154	1.5%
21	171	1.7%
22	194	1.9%
23	221	2.2%
24	229	2.3%
25	256	2.6%
26	225	2.2%
27	291	2.9%

Value	Count	Frequency (%)
80	2	< 0.1%
77	1	< 0.1%
75	1	< 0.1%
73	2	< 0.1%
72	7	0.1%
71	2	< 0.1%
70	8	0.1%
69	2	< 0.1%
68	8	0.1%
67	8	0.1%

Gender
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	605.8 KiB

Female	5001
Male	4773
Other	226

Length

Max length	6
Median length	6
Mean length	5.0228
Min length	4

Characters and Unicode

Total characters	50228
Distinct characters	10
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Male
2nd row	Male
3rd row	Male
4th row	Male
5th row	Female

Common Values

Value	Count	Frequency (%)
Female	5001	50.0%
Male	4773	47.7%
Other	226	2.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
female	5001	50.0%
male	4773	47.7%
other	226	2.3%

Most occurring characters

Value	Count	Frequency (%)
e	15001	29.9%
a	9774	19.5%
l	9774	19.5%
F	5001	10.0%
m	5001	10.0%
M	4773	9.5%
O	226	0.4%
t	226	0.4%
h	226	0.4%
r	226	0.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	50228	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	15001	29.9%
a	9774	19.5%
l	9774	19.5%
F	5001	10.0%
m	5001	10.0%
M	4773	9.5%
O	226	0.4%
t	226	0.4%
h	226	0.4%
r	226	0.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	50228	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	15001	29.9%
a	9774	19.5%
l	9774	19.5%
F	5001	10.0%
m	5001	10.0%
M	4773	9.5%
O	226	0.4%
t	226	0.4%
h	226	0.4%
r	226	0.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	50228	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	15001	29.9%
a	9774	19.5%
l	9774	19.5%
F	5001	10.0%
m	5001	10.0%
M	4773	9.5%
O	226	0.4%
t	226	0.4%
h	226	0.4%
r	226	0.4%

Country
Categorical

Distinct	20
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	619.9 KiB

Canada	543
India	524
Norway	523
China	521
UK	519
Other values (15)	7370

Length

Max length	11
Median length	9
Mean length	6.4596
Min length	2

Characters and Unicode

Total characters	64596
Distinct characters	33
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Germany
2nd row	Germany
3rd row	Brazil
4th row	Germany
5th row	Spain

Common Values

Value	Count	Frequency (%)
Canada	543	5.4%
India	524	5.2%
Norway	523	5.2%
China	521	5.2%
UK	519	5.2%
Sweden	513	5.1%
South Korea	512	5.1%
Finland	510	5.1%
Italy	509	5.1%
Switzerland	500	5.0%
Other values (10)	4826	48.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
canada	543	5.2%
india	524	5.0%
norway	523	5.0%
china	521	5.0%
uk	519	4.9%
sweden	513	4.9%
south	512	4.9%
korea	512	4.9%
finland	510	4.9%
italy	509	4.8%
Other values (11)	5326	50.7%

Most occurring characters

Value	Count	Frequency (%)
a	9592	14.8%
n	6066	9.4%
e	5002	7.7%
i	4474	6.9%
r	3978	6.2%
l	3463	5.4%
d	3084	4.8%
t	2512	3.9%
S	2459	3.8%
o	2030	3.1%
Other values (23)	21936	34.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	64596	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	9592	14.8%
n	6066	9.4%
e	5002	7.7%
i	4474	6.9%
r	3978	6.2%
l	3463	5.4%
d	3084	4.8%
t	2512	3.9%
S	2459	3.8%
o	2030	3.1%
Other values (23)	21936	34.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	64596	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	9592	14.8%
n	6066	9.4%
e	5002	7.7%
i	4474	6.9%
r	3978	6.2%
l	3463	5.4%
d	3084	4.8%
t	2512	3.9%
S	2459	3.8%
o	2030	3.1%
Other values (23)	21936	34.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	64596	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	9592	14.8%
n	6066	9.4%
e	5002	7.7%
i	4474	6.9%
r	3978	6.2%
l	3463	5.4%
d	3084	4.8%
t	2512	3.9%
S	2459	3.8%
o	2030	3.1%
Other values (23)	21936	34.0%

Coffee_Intake
Real number (ℝ)

High correlation Zeros

Distinct	78
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.50923

Minimum	0
Maximum	8.2
Zeros	558
Zeros (%)	5.6%
Negative	0
Negative (%)	0.0%
Memory size	78.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1.5
median	2.5
Q3	3.5
95-th percentile	5
Maximum	8.2
Range	8.2
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.4502476
Coefficient of variation (CV)	0.5779652
Kurtosis	-0.27653965
Mean	2.50923
Median Absolute Deviation (MAD)	1
Skewness	0.26336306
Sum	25092.3
Variance	2.1032181
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	558	5.6%
2.7	305	3.0%
2.8	270	2.7%
2.1	269	2.7%
2.2	266	2.7%
2.5	264	2.6%
2.6	264	2.6%
2.4	258	2.6%
3.1	255	2.5%
2.9	249	2.5%
Other values (68)	7042	70.4%

Value	Count	Frequency (%)
0	558	5.6%
0.1	64	0.6%
0.2	81	0.8%
0.3	88	0.9%
0.4	102	1.0%
0.5	135	1.4%
0.6	109	1.1%
0.7	124	1.2%
0.8	129	1.3%
0.9	142	1.4%

Value	Count	Frequency (%)
8.2	1	< 0.1%
7.8	2	< 0.1%
7.7	2	< 0.1%
7.6	3	< 0.1%
7.3	4	< 0.1%
7.2	1	< 0.1%
7.1	1	< 0.1%
7	4	< 0.1%
6.9	3	< 0.1%
6.8	3	< 0.1%

Caffeine_mg
Real number (ℝ)

High correlation Zeros

Distinct	4277
Distinct (%)	42.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	238.41101

Minimum	0
Maximum	780.3
Zeros	528
Zeros (%)	5.3%
Negative	0
Negative (%)	0.0%
Memory size	78.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	138.75
median	235.4
Q3	332.025
95-th percentile	474.005
Maximum	780.3
Range	780.3
Interquartile range (IQR)	193.275

Descriptive statistics

Standard deviation	137.74881
Coefficient of variation (CV)	0.57777875
Kurtosis	-0.27574097
Mean	238.41101
Median Absolute Deviation (MAD)	96.65
Skewness	0.26318051
Sum	2384110.1
Variance	18974.736
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	528	5.3%
148.1	9	0.1%
323.3	9	0.1%
259.3	9	0.1%
265.3	9	0.1%
132.1	9	0.1%
277.9	9	0.1%
274.9	8	0.1%
191.3	8	0.1%
265.9	8	0.1%
Other values (4267)	9394	93.9%

Value	Count	Frequency (%)
0	528	5.3%
0.1	1	< 0.1%
0.3	2	< 0.1%
0.4	2	< 0.1%
0.7	1	< 0.1%
0.8	1	< 0.1%
0.9	2	< 0.1%
1.3	1	< 0.1%
1.5	2	< 0.1%
1.6	1	< 0.1%

Value	Count	Frequency (%)
780.3	1	< 0.1%
742.2	1	< 0.1%
738.8	1	< 0.1%
733.1	1	< 0.1%
729.2	1	< 0.1%
723.9	1	< 0.1%
722.4	1	< 0.1%
720	1	< 0.1%
693.8	1	< 0.1%
693.4	1	< 0.1%

Sleep_Hours
Real number (ℝ)

High correlation

Distinct	71
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.63622

Minimum	3
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	78.3 KiB

Quantile statistics

Minimum	3
5-th percentile	4.6
Q1	5.8
median	6.6
Q3	7.5
95-th percentile	8.6
Maximum	10
Range	7
Interquartile range (IQR)	1.7

Descriptive statistics

Standard deviation	1.2220554
Coefficient of variation (CV)	0.18414932
Kurtosis	-0.13774913
Mean	6.63622
Median Absolute Deviation (MAD)	0.8
Skewness	-0.018317325
Sum	66362.2
Variance	1.4934195
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6.7	333	3.3%
6.9	331	3.3%
6.6	324	3.2%
7.1	323	3.2%
6.5	320	3.2%
6.8	313	3.1%
6.4	312	3.1%
6.1	311	3.1%
7	306	3.1%
6.2	304	3.0%
Other values (61)	6823	68.2%

Value	Count	Frequency (%)
3	14	0.1%
3.1	6	0.1%
3.2	6	0.1%
3.3	9	0.1%
3.4	7	0.1%
3.5	9	0.1%
3.6	12	0.1%
3.7	17	0.2%
3.8	25	0.2%
3.9	25	0.2%

Value	Count	Frequency (%)
10	40	0.4%
9.9	8	0.1%
9.8	14	0.1%
9.7	5	0.1%
9.6	21	0.2%
9.5	22	0.2%
9.4	23	0.2%
9.3	26	0.3%
9.2	37	0.4%
9.1	38	0.4%

Sleep_Quality
Categorical

High correlation

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	602.4 KiB

Good	5637
Fair	2050
Excellent	1352
Poor	961

Length

Max length	9
Median length	4
Mean length	4.676
Min length	4

Characters and Unicode

Total characters	46760
Distinct characters	15
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Good
2nd row	Good
3rd row	Fair
4th row	Good
5th row	Fair

Common Values

Value	Count	Frequency (%)
Good	5637	56.4%
Fair	2050	20.5%
Excellent	1352	13.5%
Poor	961	9.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
good	5637	56.4%
fair	2050	20.5%
excellent	1352	13.5%
poor	961	9.6%

Most occurring characters

Value	Count	Frequency (%)
o	13196	28.2%
G	5637	12.1%
d	5637	12.1%
r	3011	6.4%
e	2704	5.8%
l	2704	5.8%
F	2050	4.4%
a	2050	4.4%
i	2050	4.4%
E	1352	2.9%
Other values (5)	6369	13.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	46760	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	13196	28.2%
G	5637	12.1%
d	5637	12.1%
r	3011	6.4%
e	2704	5.8%
l	2704	5.8%
F	2050	4.4%
a	2050	4.4%
i	2050	4.4%
E	1352	2.9%
Other values (5)	6369	13.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	46760	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	13196	28.2%
G	5637	12.1%
d	5637	12.1%
r	3011	6.4%
e	2704	5.8%
l	2704	5.8%
F	2050	4.4%
a	2050	4.4%
i	2050	4.4%
E	1352	2.9%
Other values (5)	6369	13.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	46760	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	13196	28.2%
G	5637	12.1%
d	5637	12.1%
r	3011	6.4%
e	2704	5.8%
l	2704	5.8%
F	2050	4.4%
a	2050	4.4%
i	2050	4.4%
E	1352	2.9%
Other values (5)	6369	13.6%

BMI
Real number (ℝ)

Distinct	220
Distinct (%)	2.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	23.98686

Minimum	15
Maximum	38.2
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	78.3 KiB

Quantile statistics

Minimum	15
5-th percentile	17.4
Q1	21.3
median	24
Q3	26.6
95-th percentile	30.3
Maximum	38.2
Range	23.2
Interquartile range (IQR)	5.3

Descriptive statistics

Standard deviation	3.9064113
Coefficient of variation (CV)	0.1628563
Kurtosis	-0.16490502
Mean	23.98686
Median Absolute Deviation (MAD)	2.7
Skewness	0.047970803
Sum	239868.6
Variance	15.260049
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
15	120	1.2%
25.5	119	1.2%
23.2	116	1.2%
24	115	1.1%
24.7	111	1.1%
23.3	111	1.1%
25.4	110	1.1%
24.9	108	1.1%
23.7	107	1.1%
25	106	1.1%
Other values (210)	8877	88.8%

Value	Count	Frequency (%)
15	120	1.2%
15.1	9	0.1%
15.2	6	0.1%
15.3	11	0.1%
15.4	16	0.2%
15.5	8	0.1%
15.6	20	0.2%
15.7	13	0.1%
15.8	11	0.1%
15.9	14	0.1%

Value	Count	Frequency (%)
38.2	1	< 0.1%
37.9	1	< 0.1%
37.8	1	< 0.1%
37.5	1	< 0.1%
37.2	2	< 0.1%
37	1	< 0.1%
36.9	1	< 0.1%
36.8	1	< 0.1%
36.7	1	< 0.1%
36.6	1	< 0.1%

Heart_Rate
Real number (ℝ)

Distinct	58
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	70.6178

Minimum	50
Maximum	109
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	78.3 KiB

Quantile statistics

Minimum	50
5-th percentile	54
Q1	64
median	71
Q3	77
95-th percentile	87
Maximum	109
Range	59
Interquartile range (IQR)	13

Descriptive statistics

Standard deviation	9.8229513
Coefficient of variation (CV)	0.13910022
Kurtosis	-0.25748864
Mean	70.6178
Median Absolute Deviation (MAD)	7
Skewness	0.10386586
Sum	706178
Variance	96.490372
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
70	433	4.3%
71	408	4.1%
73	392	3.9%
67	387	3.9%
72	386	3.9%
69	385	3.9%
74	384	3.8%
75	360	3.6%
66	358	3.6%
68	354	3.5%
Other values (48)	6153	61.5%

Value	Count	Frequency (%)
50	214	2.1%
51	62	0.6%
52	87	0.9%
53	74	0.7%
54	96	1.0%
55	118	1.2%
56	161	1.6%
57	156	1.6%
58	188	1.9%
59	227	2.3%

Value	Count	Frequency (%)
109	1	< 0.1%
107	1	< 0.1%
106	2	< 0.1%
104	1	< 0.1%
103	1	< 0.1%
102	2	< 0.1%
101	2	< 0.1%
100	6	0.1%
99	7	0.1%
98	11	0.1%

Stress_Level
Categorical

High correlation

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	593.0 KiB

Low	6989
Medium	2050
High	961

Length

Max length	6
Median length	3
Mean length	3.7111
Min length	3

Characters and Unicode

Total characters	37111
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Low
2nd row	Low
3rd row	Medium
4th row	Low
5th row	Medium

Common Values

Value	Count	Frequency (%)
Low	6989	69.9%
Medium	2050	20.5%
High	961	9.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
low	6989	69.9%
medium	2050	20.5%
high	961	9.6%

Most occurring characters

Value	Count	Frequency (%)
L	6989	18.8%
o	6989	18.8%
w	6989	18.8%
i	3011	8.1%
M	2050	5.5%
e	2050	5.5%
d	2050	5.5%
u	2050	5.5%
m	2050	5.5%
H	961	2.6%
Other values (2)	1922	5.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	37111	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
L	6989	18.8%
o	6989	18.8%
w	6989	18.8%
i	3011	8.1%
M	2050	5.5%
e	2050	5.5%
d	2050	5.5%
u	2050	5.5%
m	2050	5.5%
H	961	2.6%
Other values (2)	1922	5.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	37111	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
L	6989	18.8%
o	6989	18.8%
w	6989	18.8%
i	3011	8.1%
M	2050	5.5%
e	2050	5.5%
d	2050	5.5%
u	2050	5.5%
m	2050	5.5%
H	961	2.6%
Other values (2)	1922	5.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	37111	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
L	6989	18.8%
o	6989	18.8%
w	6989	18.8%
i	3011	8.1%
M	2050	5.5%
e	2050	5.5%
d	2050	5.5%
u	2050	5.5%
m	2050	5.5%
H	961	2.6%
Other values (2)	1922	5.2%

Physical_Activity_Hours
Real number (ℝ)

Distinct	151
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.48704

Minimum	0
Maximum	15
Zeros	27
Zeros (%)	0.3%
Negative	0
Negative (%)	0.0%
Memory size	78.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0.8
Q1	3.7
median	7.5
Q3	11.2
95-th percentile	14.3
Maximum	15
Range	15
Interquartile range (IQR)	7.5

Descriptive statistics

Standard deviation	4.31518
Coefficient of variation (CV)	0.57635327
Kurtosis	-1.1976038
Mean	7.48704
Median Absolute Deviation (MAD)	3.7
Skewness	0.0036676275
Sum	74870.4
Variance	18.620778
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
8.4	94	0.9%
3.7	88	0.9%
14.6	83	0.8%
9.5	82	0.8%
10.9	81	0.8%
11.2	81	0.8%
4.1	80	0.8%
1	79	0.8%
10.2	79	0.8%
7	78	0.8%
Other values (141)	9175	91.8%

Value	Count	Frequency (%)
0	27	0.3%
0.1	55	0.5%
0.2	63	0.6%
0.3	71	0.7%
0.4	67	0.7%
0.5	63	0.6%
0.6	61	0.6%
0.7	78	0.8%
0.8	63	0.6%
0.9	70	0.7%

Value	Count	Frequency (%)
15	36	0.4%
14.9	66	0.7%
14.8	57	0.6%
14.7	66	0.7%
14.6	83	0.8%
14.5	62	0.6%
14.4	73	0.7%
14.3	62	0.6%
14.2	52	0.5%
14.1	61	0.6%

Health_Issues
Categorical

High correlation

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	597.7 KiB

None	5941
Mild	3579
Moderate	463
Severe	17

Length

Max length	8
Median length	4
Mean length	4.1886
Min length	4

Characters and Unicode

Total characters	41886
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	None
2nd row	None
3rd row	Mild
4th row	Mild
5th row	Mild

Common Values

Value	Count	Frequency (%)
None	5941	59.4%
Mild	3579	35.8%
Moderate	463	4.6%
Severe	17	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
none	5941	59.4%
mild	3579	35.8%
moderate	463	4.6%
severe	17	0.2%

Most occurring characters

Value	Count	Frequency (%)
e	6918	16.5%
o	6404	15.3%
N	5941	14.2%
n	5941	14.2%
M	4042	9.7%
d	4042	9.7%
i	3579	8.5%
l	3579	8.5%
r	480	1.1%
a	463	1.1%
Other values (3)	497	1.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	41886	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	6918	16.5%
o	6404	15.3%
N	5941	14.2%
n	5941	14.2%
M	4042	9.7%
d	4042	9.7%
i	3579	8.5%
l	3579	8.5%
r	480	1.1%
a	463	1.1%
Other values (3)	497	1.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	41886	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	6918	16.5%
o	6404	15.3%
N	5941	14.2%
n	5941	14.2%
M	4042	9.7%
d	4042	9.7%
i	3579	8.5%
l	3579	8.5%
r	480	1.1%
a	463	1.1%
Other values (3)	497	1.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	41886	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	6918	16.5%
o	6404	15.3%
N	5941	14.2%
n	5941	14.2%
M	4042	9.7%
d	4042	9.7%
i	3579	8.5%
l	3579	8.5%
r	480	1.1%
a	463	1.1%
Other values (3)	497	1.2%

Occupation
Categorical

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	624.9 KiB

Office	2073
Other	2038
Student	1968
Healthcare	1964
Service	1957

Length

Max length	10
Median length	7
Mean length	6.9743
Min length	5

Characters and Unicode

Total characters	69743
Distinct characters	16
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Other
2nd row	Service
3rd row	Office
4th row	Other
5th row	Student

Common Values

Value	Count	Frequency (%)
Office	2073	20.7%
Other	2038	20.4%
Student	1968	19.7%
Healthcare	1964	19.6%
Service	1957	19.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
office	2073	20.7%
other	2038	20.4%
student	1968	19.7%
healthcare	1964	19.6%
service	1957	19.6%

Most occurring characters

Value	Count	Frequency (%)
e	13921	20.0%
t	7938	11.4%
c	5994	8.6%
r	5959	8.5%
f	4146	5.9%
O	4111	5.9%
i	4030	5.8%
h	4002	5.7%
a	3928	5.6%
S	3925	5.6%
Other values (6)	11789	16.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	69743	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	13921	20.0%
t	7938	11.4%
c	5994	8.6%
r	5959	8.5%
f	4146	5.9%
O	4111	5.9%
i	4030	5.8%
h	4002	5.7%
a	3928	5.6%
S	3925	5.6%
Other values (6)	11789	16.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	69743	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	13921	20.0%
t	7938	11.4%
c	5994	8.6%
r	5959	8.5%
f	4146	5.9%
O	4111	5.9%
i	4030	5.8%
h	4002	5.7%
a	3928	5.6%
S	3925	5.6%
Other values (6)	11789	16.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	69743	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	13921	20.0%
t	7938	11.4%
c	5994	8.6%
r	5959	8.5%
f	4146	5.9%
O	4111	5.9%
i	4030	5.8%
h	4002	5.7%
a	3928	5.6%
S	3925	5.6%
Other values (6)	11789	16.9%

Smoking
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	566.5 KiB

0	7996
1	2004

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	7996	80.0%
1	2004	20.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	7996	80.0%
1	2004	20.0%

Most occurring characters

Value	Count	Frequency (%)
0	7996	80.0%
1	2004	20.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	10000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	7996	80.0%
1	2004	20.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	10000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	7996	80.0%
1	2004	20.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	10000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	7996	80.0%
1	2004	20.0%

Alcohol_Consumption
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	566.5 KiB

0	6993
1	3007

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	6993	69.9%
1	3007	30.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	6993	69.9%
1	3007	30.1%

Most occurring characters

Value	Count	Frequency (%)
0	6993	69.9%
1	3007	30.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	10000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	6993	69.9%
1	3007	30.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	10000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	6993	69.9%
1	3007	30.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	10000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	6993	69.9%
1	3007	30.1%

	Age	Alcohol_Consumption	BMI	Caffeine_mg	Coffee_Intake	Country	Gender	Health_Issues	Heart_Rate	ID	Occupation	Physical_Activity_Hours	Sleep_Hours	Sleep_Quality	Smoking	Stress_Level
Age	1.000	0.026	0.008	-0.012	-0.013	0.000	0.000	0.280	-0.002	-0.009	0.015	0.009	0.004	0.000	0.000	0.000
Alcohol_Consumption	0.026	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.028	0.016	0.032	0.024	0.006	0.000
BMI	0.008	0.000	1.000	-0.009	-0.008	0.013	0.015	0.212	-0.010	-0.010	0.013	0.003	0.009	0.007	0.037	0.000
Caffeine_mg	-0.012	0.000	-0.009	1.000	1.000	0.014	0.007	0.063	0.056	-0.004	0.000	0.004	-0.190	0.103	0.000	0.109
Coffee_Intake	-0.013	0.000	-0.008	1.000	1.000	0.016	0.016	0.063	0.056	-0.004	0.000	0.003	-0.190	0.103	0.000	0.110
Country	0.000	0.000	0.013	0.014	0.016	1.000	0.000	0.028	0.000	0.006	0.012	0.014	0.019	0.021	0.033	0.014
Gender	0.000	0.000	0.015	0.007	0.016	0.000	1.000	0.000	0.000	0.025	0.011	0.006	0.000	0.000	0.006	0.000
Health_Issues	0.280	0.000	0.212	0.063	0.063	0.028	0.000	1.000	0.011	0.010	0.014	0.000	0.422	0.461	0.011	0.565
Heart_Rate	-0.002	0.000	-0.010	0.056	0.056	0.000	0.000	0.011	1.000	0.002	0.012	-0.003	-0.037	0.016	0.014	0.018
ID	-0.009	0.000	-0.010	-0.004	-0.004	0.006	0.025	0.010	0.002	1.000	0.000	-0.008	-0.007	0.000	0.009	0.000
Occupation	0.015	0.028	0.013	0.000	0.000	0.012	0.011	0.014	0.012	0.000	1.000	0.010	0.000	0.013	0.000	0.012
Physical_Activity_Hours	0.009	0.016	0.003	0.004	0.003	0.014	0.006	0.000	-0.003	-0.008	0.010	1.000	-0.011	0.000	0.028	0.000
Sleep_Hours	0.004	0.032	0.009	-0.190	-0.190	0.019	0.000	0.422	-0.037	-0.007	0.000	-0.011	1.000	0.888	0.023	0.887
Sleep_Quality	0.000	0.024	0.007	0.103	0.103	0.021	0.000	0.461	0.016	0.000	0.013	0.000	0.888	1.000	0.000	1.000
Smoking	0.000	0.006	0.037	0.000	0.000	0.033	0.006	0.011	0.014	0.009	0.000	0.028	0.023	0.000	1.000	0.000
Stress_Level	0.000	0.000	0.000	0.109	0.110	0.014	0.000	0.565	0.018	0.000	0.012	0.000	0.887	1.000	0.000	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

	ID	Age	Gender	Country	Coffee_Intake	Caffeine_mg	Sleep_Hours	Sleep_Quality	BMI	Heart_Rate	Stress_Level	Physical_Activity_Hours	Health_Issues	Occupation	Smoking	Alcohol_Consumption
0	1	40	Male	Germany	3.5	328.1	7.5	Good	24.9	78	Low	14.5	None	Other	0	0
1	2	33	Male	Germany	1.0	94.1	6.2	Good	20.0	67	Low	11.0	None	Service	0	0
2	3	42	Male	Brazil	5.3	503.7	5.9	Fair	22.7	59	Medium	11.2	Mild	Office	0	0
3	4	53	Male	Germany	2.6	249.2	7.3	Good	24.7	71	Low	6.6	Mild	Other	0	0
4	5	32	Female	Spain	3.1	298.0	5.3	Fair	24.1	76	Medium	8.5	Mild	Student	0	1
5	6	32	Male	Mexico	3.4	326.4	6.4	Good	27.0	82	Low	8.8	None	Service	0	0
6	7	53	Male	France	2.7	252.1	7.8	Good	24.3	58	Low	1.0	Mild	Student	1	0
7	8	44	Female	Canada	4.5	423.5	5.5	Fair	15.8	62	Medium	0.7	Mild	Service	1	1
8	9	29	Male	UK	1.7	162.0	7.1	Good	21.7	60	Low	2.2	None	Service	1	1
9	10	41	Female	Switzerland	4.0	383.2	6.4	Good	30.4	69	Low	11.9	Mild	Office	0	0

	ID	Age	Gender	Country	Coffee_Intake	Caffeine_mg	Sleep_Hours	Sleep_Quality	BMI	Heart_Rate	Stress_Level	Physical_Activity_Hours	Health_Issues	Occupation	Smoking	Alcohol_Consumption
9990	9991	52	Male	Japan	0.3	29.7	5.2	Fair	25.6	67	Medium	3.3	Moderate	Office	0	0
9991	9992	37	Male	UK	2.4	225.6	4.3	Poor	24.2	56	High	1.3	Mild	Healthcare	0	1
9992	9993	42	Other	Spain	2.8	262.0	6.6	Good	16.8	77	Low	4.3	None	Service	0	1
9993	9994	18	Female	Italy	0.0	0.0	6.2	Good	25.9	75	Low	8.3	None	Service	0	0
9994	9995	49	Female	Germany	1.6	150.1	5.7	Fair	25.5	81	Medium	12.9	Mild	Student	0	1
9995	9996	50	Female	Japan	2.1	199.8	6.0	Fair	30.5	50	Medium	10.1	Moderate	Healthcare	0	1
9996	9997	18	Female	UK	3.4	319.2	5.8	Fair	19.1	71	Medium	11.6	Mild	Service	0	0
9997	9998	26	Male	China	1.6	153.4	7.1	Good	25.1	66	Low	13.7	None	Student	1	1
9998	9999	40	Female	Finland	3.4	327.1	7.0	Good	19.3	80	Low	0.1	None	Student	0	0
9999	10000	42	Female	Brazil	2.9	277.5	6.4	Good	28.1	72	Low	9.8	None	Student	1	0

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values